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Revista Brasileira de Entomologia

Print version ISSN 0085-5626

Rev. Bras. entomol. vol.54 no.3 São Paulo  2010

http://dx.doi.org/10.1590/S0085-56262010000300015 

BIOLOGY, ECOLOGY AND DIVERSITY

 

Adult sex ratio effects on male survivorship of Drosophila melanogaster Meigen (Diptera, Drosophilidae)

 

Efeito da razão sexual de adultos na curva de sobrevivência de machos de Drosophila melanogaster Meigen (Diptera, Drosophilidae)

 

 

Marcelo CostaI; Rogério Pincela MateusI; Mauricio Osvaldo MouraII; Luciana Paes de Barros MachadoI

IDepartamento de Ciências Biológicas, Universidade Estadual do Centro Oeste, Rua Camargo Varela de Sá, n° 3, Vila Carli, 85040-080 Guarapuava-PR, Brazil. marcelokosta@yahoo.com.br; rmateus@unicentro.br; lpbmachado@unicentro.br
IIDepartamento de Zoologia, Universidade Federal do Paraná, Caixa Postal 19020, 81531-980 Curitiba-PR, Brazil. mauricio.moura@ufpr.br

 

 


ABSTRACT

The behavioral biology has a central role in evolutionary biology mainly because the antagonistic relations that occur in the sexual reproduction. One involves the effect of reproduction on the future life expectation. In this scenario, changes in male operational sex ratio could lead to an increase in mortality due to costs associated with excessive courtship and mating displays. Thus, this work experimentally altered the male sex ratio of Drosophila melanogaster Meigen, 1830, to determine its impact on mortality. The results indicated that mortality increases as the sex ratio changes, including modifications in the survivorship curve type and in the curve concavity, measured by entropy.

Keywords: Adult sex ratio; entropy; survivor.


RESUMO

A biologia comportamental tem um papel central na biologia evolutiva principalmente pelas relações antagônicas que ocorrem na reprodução sexuada. Uma destas relações envolve o efeito da reprodução sobre a expectativa de vida futura. Neste cenário, alterações na razão sexual operacional de machos podem levar a um aumento na mortalidade por causa dos custos associados com o excesso de displays de corte e cópulas. Neste sentido este trabalho alterou experimentalmente a razão sexual em machos de Drosophila melanogaster Meigen, 1830, para determinar os efeitos em termos de mortalidade. Os resultados indicam que a mortalidade aumenta a medida que a razão sexual se enviesa incluindo alterações no tipo de curva de sobrevivência e da concavidade da curva, medida pela entropia.

Palavras-chave: Entropia; razão sexual de adultos; sobrevivência.


 

 

Behavioral ecology is one of the core topics in evolutionary biology manly due to the variety of behaviors and tactics associated with mating, as well as the fitness consequences linked to these strategies (Savalli 2001). One of these fitness consequences is a trade-off involving reproduction and longevity, which has been supported by evolutionary models as well as by empirical evidences (Tatar 2001). This trade off involves the harm males can inflicted on females due to sexual behavior (Arnqvist & Nilsson 2000 ) and, for males, the costs associated with courtship displays (Cordts & Partridge 1996), production of nuptial gifts and competing for mating (Whigby & Chapman 2004). When females make a higher investment than males in reproduction, such as in insects, there is a tendency of females to become more selective in mate choice, implying a selection on male ability to compete for mating opportunities (Kokko & Jennions 2008). One way to quantify the mating opportunities is to use the concept of operational sex ratio (OSR), which is defined as the proportion of sexually mature males to receptive females (Emlen & Oring 1977) or, more operationally, through the use of adult sex ratio (ASR), which quantifies the number of males and females in an arena (Kokko & Jennions 2008) . The rationale behind these concepts is that deviations from a 1: 1 sex ratio will lead to a competition for mates where the biased sex will tend to compete for access to mating (Kvarnemo & Ahnesjö 1996; Markow 2000).

Drosophila melanogaster Meigen, 1830, have a biased OSR in natural conditions (Markow 2000) and, in laboratory experiments, responds to such condition with an increase of male courtship display and mating rate (Whigby & Chapman 2004). As a consequence of the trade-off involving reproduction and longevity, the increase in courtship display and mating rate reduces life span (Cordts & Partridge 1996), although the global fitness is positively related to reproductive rate (Lessells 2006).

This features set up a scenario were premating competition should be expected under a male biased adult sex ratio. Thus, considering that courtship is a costly behavior, it could be hypothesized that in arenas where there is a male biased operational sex ratio the male longevity will tend to become lower with an increasing departure of adult sex ratio from 1:1. Based on this assumption, this paper attempts to test if longevity decreases with an increment in male biased sex ratio.

To test these hypothesis newly hatched D. melanogaster adults (virgins), from a Canton-S lineage, were placed in 200 ml vials containing 50 ml of banana-agar culture medium. Three types of crosses (treatments) were set up to test the sex ratio effect on male survivorship: Treatment 1 - 1:1 male/female sex ratio, with 14 males and 14 females; Treatment 2 - 2:1 male/female sex ratio, with 14 males and 7 females; Treatment 3 - 7:1 male/female sex ratio, with 14 males and 2 females. All crosses were run at 25 ± 1 ºC under a photoperiod of 12:12 (L:D) h. The flies were transferred once a week to new vials containing culture medium. The vials were checked to count and sex the dead flies every day until the last individual of the original set.

As failure-time data are skewed and our sample sizes are small we choose to fit a distribution to each cross as a way to describe mortality patterns (Lee & Wang 2003). The Weibull distribution were choose because fitted the data well (χ2 = 0,29; df = 2 and 38, P = 0,87), represents the mortality risk as a power of time (Crawley 2005) acting in an additive way (Ricklefs & Scheverlein 2002 ) and can be compared with standard survivorship curves (Pinder et al. 1978; Crawley 2005). Also, the fact that mortality risk are additive to an initial mortality parameter (m0) implies that initial mortality can be zero (Ricklefs & Scheverlein 2002) as occurred in our experimental design. The mean survival time (mean Weibull) were used for comparisons with entropy values. The R package (R Development Core Team 2009) were used for fitting a Weibull distribution to the data thought the survival package (Therneau & Lumley 2009).

The mortality data were used to make life tables and survivorship curves according to Carey (1993). The survivorship patterns can be graphically represented by three types of curves. The type I has a rectangular distribution and describes the situation were the individuals reach the maximum physiological longevity of the species. The type II describes a mortality that is age-independent. The type III is characterized by high early mortality and a raise of life expectation with time for the survivors (Demetrius 1978). However, this patterns shows only a general shape of the survivorship curve, making the comparisons highly empiric as the majority of curves fit between two of these patterns. Thus, the entropy can be a quantitative estimator of the survivorship curve and, therefore, enables a more detailed comparison among the survivorship patterns of both sexes or different species (Moura & Bonatto 1999; Fernandes et al. 2003). The entropy was calculated by the formula:

were: H is the entropy, ex represents the life expectancy in the age x; dx is the proportion of individuals that died between the ages x and x+1; eo is the life expectancy in the initial age; w is the maximum age (in days) achieved by the last survivor and; Σexdx is the sum of the weighted mean of life expectancy in all ages (Moura & Bonatto 1999; Fernandes et al. 2003).

The three treatments had a decrease in mean survival time (Table I, Fig. 1). Drosophila melanogaster males from the first treatment (1:1 sex ratio male/female) had an average mean survival higher than the second (2:1 sex ratio male female) and the third treatment (7:1 sex ratio males/females). The Weibull parameter scale (α) measures how hazard (risk of death) relates to time (Crawley 2005) in such a way that when α < 1, mortality occurs at earlier ages. All the estimates derived from the fitted models (Table I) indicated that hazard decrease with age but at different rates, reaching almost an exponential decay (α = 1) on treatment 3. This indicates that mortality risk occurs at a higher rate when sex ratio is biased (Fig. 2).

 

 

 

 

 

 

The temporal distribution of longevity can be analyzed through the use of survivorship curves and entropy values of each treatment (Fig. 3). Regarding the shape of the survivorship curves, the first two treatments (1:1 and 2:1 male/female sex ratio) showed survivorship curves intermediary between type I and II and the third treatment (7:1 male/female sex ratio) had a curve intermediary between type II and III, showing more mortality in the first days (Fig. 3). The quantification of survivorship curve made through the entropy values showed a rise following the bias in adult sex ratio from 0,216 to 0,610 (Table I, Fig. 3).

 

 

When adult operational sex ratio skews from unity it is expected an increase in intrasexual competition to mating access (Kvarnemo & Ahnesjö 1996; Kokko & Jennions 2008) and as can be expected, such competition have a cost that could be translated into an increase in mortality (Cordts & Partridge 1996). Within this framework, our results showed that an experimentally induced sex ratio departure from unity produced as response a decrease in mean survival time (Table I).

Furthermore, our results showed that the type and concavity of the survivorship curve were affected by a male bias in adult sex ratio.

Within a sperm competition framework, there is an expectation that some males will perform better than others, therefore mating more frequently (Kokko & Jennions 2008). This pattern will create a large variance in mating rate due to the choosiness of females, which could be translated to a large variance in mortality distribution, leading to a result similar found here. In general, sperm competition occurs in male biased sex ratio species (Emlen & Oring 1977) as experimentally induced in this work. At least two factors could be responsible for decreasing longevity in a scenario like the induced in the experiments realized: mating competition (Cordts & Partridge 1996; Whigby & Chapman 2004; Reuter et al. 2008) and/or frequency of courtship behaviours (Friberg & Arnqvist 2003; Reuter et al. 2008). Although we could not disentangle these effects, there is an effect of adult sex ratio on male survivorship that probably was mediated by reproductive behavior.

Acknowledgments. We are grateful to two anonymous referees who made helpful comments. Dr Rodrigo Krueger kindly provided the R codes to perform the Weibull distribution fitting.This research was partially supported by grants from the Conselho de Desenvolvimento Científico e Tecnológico - CNPq (process 475461/2007 and 312357/2006) to Mauricio O. Moura. Fabio Sene (FFCL -USP- Ribeirão Preto) provides initial Drosophila lineages.

 

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Received 17/03/2009; accepted 13/07/2010

 

 

Editor: Márcio Roberto Pie